scholarly journals Effects of the condition of beds on rooting of pine wilt disease-resistant Japanese red pine cuttings

2020 ◽  
Vol 46 (1) ◽  
pp. 99-102
Author(s):  
Takashi YONEMICHI ◽  
Tsutomu KARUKOME ◽  
Takeshi TSUKAGOSHI ◽  
Yoko HISAMOTO ◽  
Dai KUSUMOTO
Keyword(s):  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Red Pine ◽  
Pine Wilt ◽  
Disease Resistant ◽  
Japanese Red Pine

scholarly journals The expressed genes of Japanese red pine (Pinus densiflora) involved in the pine wilt disease severity

2011 ◽  
Vol 5 (S7) ◽  
Author(s):  
Hiroyuki Kuroda ◽  
Susumu Goto ◽  
Etoh Kazumi ◽  
Keiko Kuroda
Keyword(s):  
Disease Severity ◽  
Pinus Densiflora ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Red Pine ◽  
Pine Wilt ◽  
Japanese Red Pine

Carbon storage and soil CO2 efflux rates at varying degrees of damage from pine wilt disease in red pine stands

2013 ◽  
Vol 465 ◽  
pp. 273-278 ◽  
Author(s):  
Jaeyeob Jeong ◽  
Choonsig Kim ◽  
Kwang-Soo Lee ◽  
Nanthi S. Bolan ◽  
Ravi Naidu
Keyword(s):  
Carbon Storage ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Soil Co2 Efflux ◽  
Red Pine ◽  
Co2 Efflux ◽  
Soil Co2 ◽  
Pine Wilt ◽  
Pine Stands

scholarly journals Carbon and nitrogen status in litterfall of a red pine stand with varying degrees of damage from pine wilt disease

2011 ◽  
Vol 34 (2) ◽  
pp. 215-222 ◽  
Author(s):  
Choon-Sig Kim ◽  
Jae-Yeob Jeong ◽  
Hyun-Seo Cho ◽  
Kwang-Soo Lee ◽  
Nam-Chang Park
Keyword(s):  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Red Pine ◽  
Nitrogen Status ◽  
Carbon And Nitrogen ◽  
Pine Wilt

Endogenous bacterial community structure of Pinus massoniana with differing resistance to pine wilt disease

Nematology ◽  
2021 ◽  
pp. 1-17
Author(s):  
Wei Lu ◽  
Xiao-Jia Zhao ◽  
Jia-Jin Tan
Keyword(s):  
Disease Resistance ◽  
Bacterial Community ◽  
Endophytic Bacteria ◽  
Pine Wilt Disease ◽  
Illumina Miseq ◽  
Pinus Massoniana ◽  
Wilt Disease ◽  
Pine Wilt ◽  
Disease Resistant ◽  
Endophytic Bacterial Community

Summary Pine wilt disease (PWD) is a devastating pine disease caused by Bursaphelenchus xylophilus and its main host in China is Pinus massoniana. The relationship between endophytic bacteria and disease resistance in P. massoniana remains unclear. In this paper, the leaves, roots, stems and treetops of different disease-resistant P. massoniana were studied as the research objective and Illumina MiSeq sequencing was used to analyse whether there were significant differences in the composition and diversity of endophytic bacterial communities between different disease-resistant P. massoniana. The results showed that at the genus level there were no obvious differences in the composition of the endophytic bacterial community of different disease-resistant P. massoniana in the leaves, but there were obvious differences in the roots, stems and treetops. The richness and diversity of endophytic bacteria in P. massoniana had no significant impact on its disease resistance, whilst the structure of endophytic bacterial community in stems and treetops may be related to its disease resistance.

scholarly journals Carbon and Nitrogen Responses in Litterfall and Litter Decomposition in Red Pine (Pinus densiflora S. et Z.) Stands Disturbed by Pine Wilt Disease

Forests ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 244 ◽  
Author(s):  
Choonsig Kim ◽  
Seongjun Kim ◽  
Gyeongwon Baek ◽  
A-Ram Yang
Keyword(s):  
Litter Decomposition ◽  
Pinus Densiflora ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Red Pine ◽  
Disturbance Intensity ◽  
Pine Wilt ◽  
Needle Litter ◽  
Decomposition Processes ◽  
C And N

Research Highlight: Forest disturbance by insects or disease can have a significant influence on nutrient return by litterfall and decomposition, but information regarding disturbance gradients is scarce. This study demonstrated that the disturbance intensity caused by pine wilt disease greatly altered the quality and quantity of carbon (C) and nitrogen (N) in litterfall components and decomposition processes. Background and Objectives: This study was conducted to evaluate the C and N status of litterfall and litter decomposition processes in a natural red pine (Pinus densiflora S. et Z.) stand disturbed by pine wilt disease in southern Korea. Nine red pine plots with varying degrees of disturbance caused by pine wilt disease were established based on differences in the stand basal area. Litterfall and the decomposition of needle litter and branches under different degrees of disturbance were measured for three years. Results: There was a significant correlation (p < 0.05) between disturbance intensity and the C and N concentration of litterfall components depending on the time of sampling. The annual C and N inputs through litterfall components decreased linearly with decreasing disturbance intensities. The decomposition rates of branches were higher in slightly disturbed plots compared with severely disturbed plots for the late stage of branch decomposition, whereas the decomposition rates of needle litter were not affected by the disturbance intensity of pine wilt disease. Carbon and N concentrations from needle litter and branches were not linearly related to the intensities of disturbance, except for the initial stage (one year) of needle litter decomposition. Conclusions: The results indicated that the incidence of pine wilt disease was a major cause of C and N loss through litterfall and decomposition processes in pine wilt disease disturbed stands, but the magnitude of loss depended on the severity of the disease disturbance.

scholarly journals Effects of cavitation on the development of pine wilt disease caused by Bursaphelenchus xylophilus.

1988 ◽  
Vol 54 (5) ◽  
pp. 606-615 ◽  
Author(s):  
Keiko KURODA ◽  
Toshihiro YAMADA ◽  
Kazuhiko MINEO ◽  
Hirotada TAMURA
Keyword(s):  
Pine Wilt Disease ◽  
Bursaphelenchus Xylophilus ◽  
Wilt Disease ◽  
Pine Wilt

scholarly journals Early detection of pine wilt disease in Pinus tabuliformis in North China using a field portable spectrometer and UAV-based hyperspectral imagery

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Run Yu ◽  
Lili Ren ◽  
Youqing Luo
Keyword(s):  
Early Stage ◽  
Vegetation Indices ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Pinus Tabulaeformis ◽  
Pine Tree ◽  
Preventative Measures ◽  
Pine Wilt ◽  
Pine Trees ◽  
Airborne Vehicle

Abstract Background Pine wilt disease (PWD) is a major ecological concern in China that has caused severe damage to millions of Chinese pines (Pinus tabulaeformis). To control the spread of PWD, it is necessary to develop an effective approach to detect its presence in the early stage of infection. One potential solution is the use of Unmanned Airborne Vehicle (UAV) based hyperspectral images (HIs). UAV-based HIs have high spatial and spectral resolution and can gather data rapidly, potentially enabling the effective monitoring of large forests. Despite this, few studies examine the feasibility of HI data use in assessing the stage and severity of PWD infection in Chinese pine. Method To fill this gap, we used a Random Forest (RF) algorithm to estimate the stage of PWD infection of trees sampled using UAV-based HI data and ground-based data (data directly collected from trees in the field). We compared relative accuracy of each of these data collection methods. We built our RF model using vegetation indices (VIs), red edge parameters (REPs), moisture indices (MIs), and their combination. Results We report several key results. For ground data, the model that combined all parameters (OA: 80.17%, Kappa: 0.73) performed better than VIs (OA: 75.21%, Kappa: 0.66), REPs (OA: 79.34%, Kappa: 0.67), and MIs (OA: 74.38%, Kappa: 0.65) in predicting the PWD stage of individual pine tree infection. REPs had the highest accuracy (OA: 80.33%, Kappa: 0.58) in distinguishing trees at the early stage of PWD from healthy trees. UAV-based HI data yielded similar results: the model combined VIs, REPs and MIs (OA: 74.38%, Kappa: 0.66) exhibited the highest accuracy in estimating the PWD stage of sampled trees, and REPs performed best in distinguishing healthy trees from trees at early stage of PWD (OA: 71.67%, Kappa: 0.40). Conclusion Overall, our results confirm the validity of using HI data to identify pine trees infected with PWD in its early stage, although its accuracy must be improved before widespread use is practical. We also show UAV-based data PWD classifications are less accurate but comparable to those of ground-based data. We believe that these results can be used to improve preventative measures in the control of PWD.

Dynamical aspects of pine wilt disease and control measures

2021 ◽  
Vol 145 ◽  
pp. 110764
Author(s):  
Takasar Hussain ◽  
Adnan Aslam ◽  
Muhammad Ozair ◽  
Fatima Tasneem ◽  
J.F. Gómez-Aguilar
Keyword(s):  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Control Measures ◽  
Pine Wilt ◽  
And Control
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